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3-D image analysis of intra-cerebral brain hemorrhage from digitized CT films
S Loncaric1, A P Dhawan, J Broderick
1Department of Electrical and Computer Engineering, University of Cincinnati, OH 45221, USA.
Abstract:
A new 3-D technique for the segmentation and quantification of human spontaneous intra-cerebral brain hemorrhage (ICH) is presented in this paper. The algorithm for ICH primary region segmentation uses the spatially weighted K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an iterative morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3-D visualization of ICH segmented regions. A computer program is developed for use in the human spontaneous ICH study involving a large number of patients. Experimental measurements and visualization results are presented which were computed on real ICH patient brain data.